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Describe the Big-O notation.

Answer:
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The Big-O notation is a way of expressing the time complexity of an algorithm. It describes the performance or complexity of an algorithm in terms of the amount of memory or time it uses for inputs of a certain size. It is often used to compare the efficiency of different algorithms with different input sizes.